Domain Mismatch Compensation for Text-Independant Speaker Recognition

Authors

Valentin Iovene

Type

techreport

Year

2016

Number

1610

Abstract

The impact of domain mismatch when the system training data and the evaluation data are collected from different sources remains a challenge. This study lays out state-of-the-art techniques used for domain mismatch compensation such as a library of whitening transforms and the use of a dataset-invariant covariance normalization matrix to obtain domain-invariant representations of feature vectors.